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A barebones stable diffusion implementation on MNIST

  • Implemented as an excercise to gain an intuition as to how stable diffusion works under the hood
  • Missing many features such as guided diffusion, cross attention etc.

Commands

  • python main.py train --epochs=3
  • python main.py inference --n_steps=10

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Implementation of stable diffusion model in pytorch

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